Vivek Jadav

Full-Stack Engineer & AI Researcher

Hello! I'm a final-year IT undergraduate at GEC Bhavnagar. I bridge the gap between research and production, building intelligent systems with Generative AI.

Currently diving deep into Machine Learning and Deep Learning—building models with Python, TF-IDF, Lasso Regression, and Naive Bayes, and deploying them using Streamlit.

My philosophy is simple: Build to Learn. I sharpen my skills by creating real-world applications, like my ongoing dynamic Voting and Survey website. Outside of code, I enjoy unraveling the abstract—Philosophy and Physics are my favorite mental playgrounds.

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Vivek Jadav
Current Research Memorization in Small Language Models (SLMs)

Investigating the mechanisms of verbatim memorization in Small Language Models (SLMs). My research focuses on:

Aiming to define new benchmarks for "safe memorization" in resource-constrained environments.

Featured Projects

Secure Vote Platform
View Code ↗
A real-time, full-stack voting system facilitating secure elections. Features Ranked Choice Voting algorithms and live result tracking via WebSockets. Successfully deployed for campus elections with 200+ active users.
Next.js TypeScript PostgreSQL Socket.io Prisma
Fake News Detector
View Code ↗
Machine learning classifier to detect misinformation in news articles. Utilizes TF-IDF vectorization and Logistic Regression, achieving high accuracy on the Kaggle Fake News dataset. Includes a Streamlit web interface.
Python Scikit-learn TF-IDF Streamlit NLP
Medical Charge Predictor
View Code ↗
Predictive model for estimating medical insurance costs based on demographic data. Implemented Lasso Regression with log-transformation for specific target variable stability, achieving an R² score of 0.74.
Python Pandas Lasso Regression Data Analysis

Technical Stack

Languages

Python JavaScript (ES6+) TypeScript SQL C++

AI & Data

PyTorch LangChain RAG Transformers Pandas NumPy Scikit-learn

Web & Tools

React Next.js Node.js Express PostgreSQL MongoDB Docker Git